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http://hdl.handle.net/10908/18472
Título : | How big are the differences in the informal sector wage gap in Argentina? : evidence using quantile regression on panel data |
Autor/a: | Romero, María Noelia |
Mentor/a: | Sosa Escudero, Walter |
Fecha de publicación : | ago-2019 |
Editor: | Universidad de San Andrés. Departamento de Economía |
Resumen : | I estimate a quantile regression (QR) to assess informal wage penalties at different points along the conditional wage distribution in Argentina and within the country. I exploit a panel data set from a quarterly household survey from 2016 to 2018 (Encuesta Permanente de Hogares) from the National Institute of Statistics in Argentina, INDEC (Instituto Nacional de Estadistica y Censos de Argentina) and the identifications relays on the cross-sector movers. Results show that the wage gap is bigger for the lower 20% of the distribution than the upper 80% of conditional distribution for the whole country, and this effect is reduced by one third when I consider the individuals' heterogeneity. I find a reversion in the penalty gap appears in Buenos Aires, NOA and NEA, where the lower and upper workers have a higher penalty than the median informal worker. These estimations are robust to the informal definition and highlight the importance of a distribution analysis to account for heterogeneous effects in the labor market. |
Descripción : | Fil: Romero, María Noelia. Universidad de San Andrés. Departamento de Economía; Argentina. |
URI : | http://hdl.handle.net/10908/18472 |
Aparece en las colecciones: | Tesis de Maestría en Economía |
Ficheros en este ítem:
Fichero | Tamaño | Formato | |
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[P][W] T.M. Eco. Romero, María Noelia.pdf | 4.91 MB | Adobe PDF | Visualizar/Abrir |
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